The proliferation of services and service interactions within microservices and cloud-native
applications, makes it harder to detect failures and to identify their possible root causes …

Microservices is an emerging paradigm for developing distributed systems. With their
widespread adoption, more and more work investigated the relation between microservices …

Most cloud applications use a large number of smaller sub-components (called
microservices) that interact with each other in the form of a complex graph to provide the …

The complexity and dynamism of microservices pose significant challenges to system
reliability, and thereby, automated troubleshooting is crucial. Effective root cause localization …

With the advantages of flexible scalability and fast delivery, microservice has become a
popular software architecture in the modern IT industry. However, the explosion in the …

Microservice architecture is applied by an increasing number of systems because of its
benefits on delivery, scalability, and autonomy. It is essential but challenging to localize root …

Fault diagnosis is critical in many domains, as faults may lead to safety threats or economic
losses. In the field of online service systems, operators rely on enormous monitoring data to …

Fault localization is challenging in an online service system due to its monitoring data's large
volume and variety and complex dependencies across/within its components (eg, services …

Ensuring the reliability and availability of cloud services necessitates efficient root cause
analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual …

Effectively localizing root causes of performance anomalies is crucial to enabling the rapid
recovery and loss mitigation of microservice applications in the cloud. Depending on the …